1-bit Bonsai 8B hits 250 t/s benchmark
A newly surfaced benchmark shows a 1-bit 8B model achieving over 250 tokens per second for generation and 9,000 tokens per second for prompt processing on a single H100 GPU. The extreme compression shrinks the model to just 1.07GB, signaling a major leap for high-speed edge inference.
Extreme 1-bit quantization is moving rapidly from academic theory to blistering, practical speed.
- –Hitting 250+ t/s for generation and 9000+ t/s for prompt processing proves the immense compute efficiency of 1-bit architectures in llama.cpp.
- –Compressing an 8B parameter model to ~1.1GB means powerful local LLMs can now easily fit in RAM on standard consumer hardware, smartphones, and edge devices.
- –If the quality degradation of Q1_0 quantization remains acceptable for specific tasks, 1-bit models like Bonsai-8B will become the default for on-device reasoning.
DISCOVERED
56d ago
2026-04-01
PUBLISHED
56d ago
2026-04-01
RELEVANCE
AUTHOR
ipechman